메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

A study on the Effect of Quality Characteristics of M2M Big Data providing real-time Information on User Satisfaction
Recommendations
Search
Questions

실시간 정보를 제공하는 M2M 빅데이터 품질특성이 사용자 만족에 미치는 영향에 대한 연구 - 버스기사의 교통정보 시스템 중심으로 -

논문 기본 정보

Type
Academic journal
Author
DongSik Yang (SK텔레콤) DongJin Park (공주대학교) YunJae Lee (공주대학교)
Journal
Korea Society of Industrial Informantion Systems Journal of the Korea Industrial Information Systems Research Vol.27 No.6 KCI Accredited Journals
Published
2022.12
Pages
25 - 40 (16page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
A study on the Effect of Quality Characteristics of M2M Big Data providing real-time Information on User Satisfaction
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
This study is about how the quality of M2M big data that provides real-time information affects users. Recently, there are many difficulties in acquiring and managing data because data types such as variety, data volume, and data velocity are changing rapidly and diversified. This not only leads to a decrease in data quality but also it can give a negative impact when making decisions using data. Generally, the quality of data is defined as ‘suitability for use’, which means that data quality must meet the expectations of user needs. Therefore, data providers need activities to improve data quality for this purpose, and the key is to identify data quality dimensions in each field where data is used and provide data suitable for the level of user needs. In this study, the relationship between the quality area of real-time M2M data used in the traffic information system and user satisfaction was analyzed. Research models and hypotheses were established to analyze the effects between variables related to M2M big data. In order to test the hypothesis, a causal relationship between the major factors was identified by conducting a survey and analyzing the data users.
#빅데이터 #데이터 품질 영역 #사용자 만족 #Big Data #M2M #Data Quality Dimensions #User Satisfaction

Contents

요약
Abstract
1. 서론
2. 이론적 고찰
3. 연구모형 및 연구 방법
4. 실증분석
5. 연구 결과 및 의의
6. 연구의 한계점 및 향후 연구 방향
References

References (0)

Add References
If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Relevance and Redundancy-based Loss Function of KoBART Model for Improvement of the Factual Inconsistency Problem in Abstractive Summarization
Dahoon Gu ,  Byung-Won On ,  Dongwon Jeong The Journal of Korean Institute of Information Technology 2022 .12

Recently viewed articles

Collision Tumor Composed of Meningioma and Cavernoma
Weigel, Jens, Neher 외 7명2017
 A Problem of Moral-Agent Theory
Hoayoung Youn2017

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2023-530-000300166